Edge Computing in IoT is a distributed computing approach where data processing happens closer to IoT devices instead of relying only on centralized cloud servers. It reduces latency, improves response time, and minimizes bandwidth usage by processing data locally at the edge of the network. This training explains how edge devices, gateways, and sensors work together to enable real-time analytics and decision-making. It also covers how edge computing enhances IoT performance in environments where speed and reliability are critical. You will learn how edge architectures support applications such as smart cities, industrial automation, healthcare monitoring, and autonomous systems. The course also focuses on security, scalability, and efficient data management in IoT ecosystems.
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